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An accurate algorithm for lithium polymer battery state-of-charge (SOC) estimation is proposed based on adaptive unscented Kalman filters (AUKF) and least-square support vector machines (LSSVM). A novel approach using the moving window method is applied, with AUKF and LSSVM to accurately establish the battery model with limited initial training samples. The effectiveness of the moving window modeling...
Next generation embedded systems will massively adopt on-chip many core architectures to provide both performance and energy-efficiency. This trend will definitely establish the convergence of embedded computing and high-performance computing. In such a context, one major design challenge will concern the choice of adequate architecture parameters given system requirements. Moreover, it will affect...
Li-ion batteries are a very attractive energy storage technology due to their high energy density and their capability for high charge and discharge rates. This makes them very suitable for power applications such as Electric Vehicles (EV), Hybrid Electric Vehicles (HEV) or electric grid oriented applications. However, in order to take advantage of Li-ion batteries' good properties, an accurate battery...
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